We may extrapolate some insights gained in the dynamic simulation analysis into the interpretation of the results obtained using the realistic network and the experimental data.
A first noticeable result was the location of the experiments appear close to the maximal theoretical \(X\) , defined by the metabolic network and the culture conditions (see  Figure (REF )).
On the simulation, the culture's heterogeneity was inversely proportional to \(X\)  (see Figure (REF )).
So, its maximization in the experiments suggest that the \(E\ coli\)  cultures had the minimal possible heterogeneity as result of the restrictions imposed by the chemostat constraints.
This also means that the experimentally feasible \(\bar{\mathbb {V}}\)  is minimum, i.e. it is the more informative state yield by the environmental constraints [1]}.
It is sensible then to ask: Is this enough information for describing the culture observables?
As mentioned just before, a positive answer would imply that \(ME\)  must be able to recover such culture property.
The correlations result at Figure (REF ), although not conclusive due to the noted limitations of our model, point into this direction.
We might be in the desirable situation where the most significant restriction are the known environmental constraints.
